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Updated: Jun 10, 2025

Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions

Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions

Published on: April 23, 2021

Enhancing cognitive performance prediction by white matter hyperintensity connectivity assessment.

Marvin Petersen¹, Mirthe Coenen², Charles DeCarli³

¹Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20251Germany.

Brain : a Journal of Neurology

|October 14, 2024

Summary

Lesion network mapping (LNM) better predicts cognitive decline than white matter hyperintensities (WMH) volume alone. WMH connectivity to attention networks is linked to cognitive impairment, improving understanding of vascular contributions to cognitive disorders.

Keywords:

cerebral small vessel disease dementia lesion network mapping magnetic resonance imaging vascular cognitive impairment white matter hyperintensities

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Area of Science:

Neuroimaging
Cognitive Neuroscience
Vascular Neurology

Background:

White matter hyperintensities (WMH) are linked to cognitive impairment but their volume alone doesn't fully explain deficits.
The mechanisms connecting WMH to cognitive decline are not fully understood.
Lesion network mapping (LNM) offers a novel approach to investigate brain network involvement in lesion-induced dysfunction.

Purpose of the Study:

To determine if LNM-informed markers predict cognitive performance better than WMH volume.
To identify specific brain networks associated with WMH contributing to cognitive impairment.

Main Methods:

Utilized cross-sectional data from 3485 patients across 10 memory clinic cohorts (Meta VCI Map Consortium).
Applied LNM to map WMH connectivity to structural and functional brain connectome data.
Compared predictive capacity of WMH volumes and LNM scores for cognitive function using ridge regression and nested cross-validation.

Main Results:

LNM scores significantly outperformed WMH volumes in predicting attention/executive function, processing speed, and verbal memory.
LNM did not improve prediction for language functions.
Higher LNM scores in attention networks correlated with poorer cognitive performance, indicating network connectivity is crucial.

Conclusions:

WMH-related brain network connectivity measures enhance prediction of cognitive performance in memory clinic patients.
Network integrity, especially in attention regions, is vital for understanding vascular contributions to cognitive impairment.
Integrating connectivity data with WMH assessment may enable personalized interventions and identify at-risk patient subgroups.